Monthly Archives: October 2011

My little presentation on getting web data through R

October 28, 2011
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My little presentation on getting web data through R

With examples from rOpenSci R packages. p.s. I am no expert at this...Web data from R View more presentations from schamber

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R-TreeBASE Tutorial

October 28, 2011
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R-TreeBASE Tutorial

My treebase package is now up on the CRAN repository. (Source code is up, the binaries should appear soon). Here’s a few introductory examples to illustrate some of the functionality of the package. Thanks in part to new data deposition … Continue reading →

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Copulas made easy

October 28, 2011
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Copulas made easy

Everyday, a poor soul tries to understand copulas by reading the corresponding Wikipedia page, and gives up in despair. The incomprehensible mess that one finds there gives the impression that copulas are about as accessible as tensor theory, which is a shame, because they are actually a very nice tool. The only prerequisite is knowing

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R versus SAS/SPSS in corporations

October 28, 2011
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R versus SAS/SPSS in corporations

A recent question on one of the LinkedIn groups about the advantages of using R over commercial tools like SAS or IBM SPSS Modeller drew lots of comments for R. We like R a lot and we use it extensively, but I also wanted to balance the discussion. R is great, but looking at commercial organizations near...

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Creating an R package, using developer/productivity tools

October 27, 2011
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Creating an R package, using developer/productivity tools

Couple of R programming (mainly infrastructure/workflow) related topics discussed at the Los Angeles R users group in a tutorial/demo-like form (targeted mainly to beginners) by Szilard Pafka and Jeroen Ooms: how easy it is to create a simple package for … Continue reading →

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Building diversified portfolios with R

October 27, 2011
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Building diversified portfolios with R

A common approach to reducing risk associated with financial portfolios is diversification. A portfolio made of components that are all highly correlated with each other -- a portfolio composed solely of financial stocks, for example -- is risky, because if there's a wide-spread crisis that affects the banking sector, all components of the portfolio will tank at once, together....

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Predictability of stock returns : Using acf()

October 27, 2011
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Predictability of stock returns : Using acf()

In my previous post, I employed a rather crude and non-parametric approach to see if I could predict the direction of stock returns using the function runs.test(). Lets go a step further and try modelling this with a parametric econometric approach. The company that I choose for the study is INFOSYS (NSE code INFY). Lets start...

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Copy all the files in a directory to a new directory using R

October 27, 2011
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Copy all the files in a directory to a new directory using R

Someone asked me how to move a directory full of files from one place to another using R.  The easiest way I've found is as follows (where "oldpath" is the existing directory and "newpath" is the new directory):file.copy(list.files(oldpath),newpath)

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A New Dimension to Principal Components Analysis

October 27, 2011
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A New Dimension to Principal Components Analysis

In general, the standard practice for correcting for population stratification in genetic studies is to use principal components analysis (PCA) to categorize samples along different ethnic axes.  Price et al. published on this in 20...

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The Most Diversified or The Least Correlated Efficient Frontier

October 27, 2011
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The Most Diversified or The Least Correlated Efficient Frontier

The “Minimum Correlation Algorithm” is a term I stumbled at the CSS Analytics blog. This is an Interesting Risk Measure that in my interpretation means: minimizing Average Portfolio Correlation with each Asset Class for a given level of return. One might try to use Correlation instead of Covariance matrix in mean-variance optimization, but this approach,

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